Talent Engineer

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams.

You will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next.

Today, Gong’s Talent Acquisition team runs on manual processes and disconnected systems , candidate data in one tool, interview data in another, employee data in a third, and no way to see across any of it without someone stitching it together by hand. This role exists to fix that permanently, with a system, not a person doing it manually.

Your job is to build the engine underneath all of that: the automations, integrations, and AI-powered workflows that let recruiters and hiring managers actually see what's happening and move faster, without you in the loop for every question.

Responsibilities:

• Unify our systems and make them useful. Connect and integrate Workday (HRIS), Greenhouse (ATS), Gem (sourcing), and BrightHire (interview intelligence).
• Build the talent intelligence repository. A governed data and context layer that lets AI tools answer questions using our real definitions and data, with proper permissions.
• Build agentic solutions across the hiring lifecycle for things like automated reporting, real-time visibility into bottlenecks, conversational tools, surfacing previously-qualified candidates, interview quality and consistency signals, predictive flags for at-risk offers, and recruiter workload and capacity modeling.
• Own outbound sourcing and offer effectiveness. Apply structured experimentation to how we reach and hire candidates.

Requirements:

• Real experience building solutions that integrate with external systems.
• Strong scripting/backend skills (Python or TypeScript/Node).
• SQL proficiency.
• Hands-on experience with LLM APIs and tool/function-calling patterns.
• Sound instincts around permissions and access-control design.
• Experience designing and analyzing structured experiments.
• Comfort with ambiguity.

Nice to Have:

• Experience in an analytics engineering, automation engineering, or solutions engineering role.
• Familiarity with recruiting or HR systems.
• Interest or prior exposure to the emerging discipline of applying software engineering directly to talent acquisition and recruiting operations.

Perks and Benefits:

• Medical, dental, and vision plans.
• Wellbeing Fund.
• Mental Health benefits.
• 401(k) program.
• Education & learning stipend.
• Flexible vacation time.
• Paid parental leave.
• Company-wide recharge days.
• Work from home stipend.

The annual salary hiring range for this position is $111,000 - $175,000 USD.